安装

添加到你的 Claude Code skills 目录：

# Add to your Claude Code skills
git clone https://github.com/sergio-peschiera/Molt-Pi-Maker

安全报告

已验证

上次扫描：—

{
  "status": "PASSED",
  "issues": []
}

README.md

Hermes Agent Control Room

Name: Molt-Pi-Maker
Author: sergio-peschiera

A public template for setting up an Agent Control Room first, then scaling from one Hermes agent to direct specialists, orchestrated teams, and automated workflows.

The Agent Control Room is a sidecar repo/folder that documents and governs your Hermes agents. It is not an agent itself. It is the system map, operating manual, registry, runbook library, and recovery notebook for the agents you run.

It gives you a clean path from:

one agent -> direct specialists -> orchestrator -> automated agent team

About

Hermes Agent Control Room is a starter kit for people who want to run Hermes agents like an operating system instead of a pile of disconnected bots.

The repo gives you:

A control-plane folder structure for documenting agents.
Templates for agent runbooks, Docker notes, secret maps, and backups.
A level-based architecture for growing from one agent to a specialist team.
A task bus pattern for orchestrator-to-specialist delegation.
Bundled setup and operations skills an agent can use to build or manage the system.

The key idea is simple: set up the Control Room first, then plug agents into it.

Core Idea

Create a VPS or choose an existing one.
Bootstrap the Agent Control Room.
Register one Hermes agent.
Add direct specialists when roles become clear.
Add an orchestrator when you want one front door.
Automate only after the manual system works.

The Control Room sits on the side as the control plane. You can use it directly, talk directly to any agent, or talk to an orchestrator that delegates to specialists.

Agent Control Room = side control plane
Orchestrator       = optional manager/front-door agent
Specialists        = focused Hermes agents with role-specific tools
Task Bus           = handoff desk between orchestrator and specialists
You                = owner/operator with direct access to everything

Full System Shape

flowchart LR
  user["You / Operator"]

  control["Agent Control Room<br/><code>/root/agent-control-room</code><br/><br/>side control plane<br/>docs / rules / registry<br/>ports / env maps<br/>runbooks / backups"]

  orch["hermes-orchestrator<br/><br/>optional front door<br/>delegation / synthesis"]

  bus["Agent Task Bus<br/><code>/srv/agent-bus</code><br/><br/>inbox / working<br/>outbox / archive"]

  life["hermes-life<br/>personal agent"]
  seo["hermes-seo<br/>SEO specialist"]
  dev["hermes-dev<br/>code / site work"]
  cmo["hermes-cmo<br/>marketing"]
  ops["hermes-ops<br/>VPS / backups / security"]

  user -->|"control path<br/>edit docs / rules"| control
  user -->|"orchestrated path"| orch
  user -->|"direct path"| life
  user -->|"direct path"| seo
  user -->|"direct path"| dev
  user -->|"direct path"| cmo

  control -. "defines / documents / governs" .-> orch
  control -. "defines / documents / governs" .-> life
  control -. "defines / documents / governs" .-> seo
  control -. "defines / documents / governs" .-> dev
  control -. "defines / documents / governs" .-> cmo
  control -. "defines / documents / governs" .-> ops

  orch -->|"routes tasks"| bus
  bus --> seo
  bus --> dev
  bus --> cmo
  bus --> ops
  seo -->|"results"| bus
  dev -->|"results"| bus
  cmo -->|"results"| bus
  ops -->|"results"| bus
  bus -->|"summaries / artifacts"| orch
  orch -->|"final synthesis"| user

Access Paths

You are never locked into one workflow.

Control path:
  You -> Agent Control Room

Direct path:
  You -> hermes-seo
  You -> hermes-dev
  You -> hermes-cmo

Orchestrated path:
  You -> hermes-orchestrator -> Agent Task Bus -> Specialists -> You

Architecture Levels

Level 1: Agent Control Room + One Agent

Set up the Control Room and register one Hermes agent.

Best for:

One personal Hermes agent
VPS setup documentation
Docker migration planning
Keeping runbooks and secret maps organized

You do not need an orchestrator or task bus yet.

Level 2: Direct Specialist Agents

Add multiple role-specific Hermes agents and talk to them directly.

Examples:

hermes-life
hermes-seo
hermes-dev
hermes-cmo
hermes-ops

The Control Room documents all of them. You choose which agent to talk to.

Level 3: Orchestrator + Specialists

Add hermes-orchestrator as an optional front door. You can still talk directly to specialists, but the orchestrator can route and synthesize work.

The orchestrator follows the Control Room. It should not become a giant agent with every credential.

Level 4: Automated Agent Team

Add recurring workflows, audits, backup checks, task routing, and optional direct gateway/API calls.

Only add automation after the manual workflow works.

Bundled Skills

This repo includes skills that can be linked into Claude Code or adapted for Hermes.

create-vps
  Create a fresh Hetzner VPS, SSH key, SSH alias, and local provisioning folder.

setup-control-room
  Bootstrap an SSH-accessible VPS with Node, Claude Code, Codex, Docker,
  Hermes Agent, and this Control Room template.

agent-control-room
  Manage the Control Room docs and agent folders.

agent-task-router
  Route tasks from an orchestrator to specialists through a task bus.

agent-registry-manager
  Maintain the agent registry.

agent-backup-manager
  Design and audit per-agent backups without committing secrets.

agent-security-auditor
  Check ports, dashboards, SSH, Docker, secret placement, and key scope.

agent-team-cron-planner
  Plan recurring multi-agent workflows after manual workflows work.

Suggested Folder Structure

agent-control-room/
  README.md
  agents/
    .gitkeep
  docs/
    architecture.md
    levels.md
    naming.md
    security.md
    task-bus.md
    orchestrator.md
    starter-guide.md
  shared/
    api-keys-sop.md
    commands.md
    security.md
  templates/
    agent/
      inventory.md
      docker.md
      env-map.md
      runbook.md
      backup.md
    docker/
      docker-compose.agent.yml
      docker-compose.orchestrator.yml
    task-bus/
      agents.yaml
      task-template.md
      result-template.md
  skills/
    create-vps/
    setup-control-room/
    agent-control-room/
    agent-task-router/
    agent-registry-manager/
    agent-backup-manager/
    agent-security-auditor/
    agent-team-cron-planner/
  examples/
    level-1-control-room-one-agent/
    level-2-direct-specialists/
    level-3-orchestrator-specialists/
    level-4-automated-team/

Setup

There are three ways to use this repo.

Option A: Point An Agent At This Repo

This repo is designed to be agent-readable.

If your agent can read a GitHub repo or a local clone, point it here and ask:

Read this repo and help me set up an Agent Control Room.
Start with docs/starter-guide.md and the setup-control-room skill.

If the bundled skills are available to the agent, you can be more direct:

Use setup-control-room to bootstrap my VPS.

Or, if you need a new Hetzner server first:

Use create-vps, then chain into setup-control-room.

The intended agent flow is:

create-vps
  -> creates a Hetzner VPS, SSH key, and SSH alias

setup-control-room
  -> installs tooling and clones this repo onto the VPS

agent-control-room
  -> helps register and manage agents inside the Control Room

Important: the repo does not magically run code when opened. It gives your agent the setup instructions, templates, and skills. You still ask the agent to run the setup flow.

Option B: Manual Setup On An Existing VPS

Use this if you already have an Ubuntu/Debian VPS you can SSH into.

SSH in:

ssh root@YOUR_SERVER

Clone the Control Room:

git clone https://github.com/shannhk/hermes-agent-control-room.git /root/agent-control-room
cd /root/agent-control-room

Read the starter guide:

cat docs/starter-guide.md

Register your first agent:

mkdir -p agents/hermes-life
cp templates/agent/*.md agents/hermes-life/

Then fill in:

agents/hermes-life/inventory.md
agents/hermes-life/docker.md
agents/hermes-life/env-map.md
agents/hermes-life/runbook.md
agents/hermes-life/backup.md

Keep raw secrets out of those files.

Option C: Bootstrap With The Setup Skill

Use this if you have an SSH alias already configured locally.

The bundled setup-control-room skill is meant to:

connect to your VPS over SSH
install base packages
install Node.js
install Claude Code
install Codex CLI
install Docker
install Hermes Agent best-effort
clone this repo to /root/agent-control-room
link bundled skills into ~/.claude/skills

After it runs, SSH into the VPS and finish interactive auth:

ssh <alias>
claude /login
codex
hermes

Then start using the Control Room:

cd /root/agent-control-room
cat README.md
ls templates/agent/
ls skills/

Recommended First Milestone

Do not start by building a whole agent team.

First milestone:

1. Control Room exists on the VPS.
2. One agent is documented in agents/<agent-name>/.
3. No raw secrets are in the repo.
4. You can restart/debug/recover that one agent using its runbook.

Then move to Level 2 and add direct specialists.

Runtime Split

Keep the control plane separate from live runtime state.

/root/agent-control-room
  docs, templates, runbooks, registry, architecture
  no raw secrets

/srv/<agent-name>/data
  live Hermes runtime
  .env, memory, skills, sessions, crons, logs

Security Rule

Never commit raw secrets.

The control room may record:

secret names
provider
scope
location
rotation date

It must not record:

API key values
OAuth refresh tokens
passwords
private keys

License

MIT. See LICENSE.

常见问题

What is Molt-Pi-Maker?⌄

Molt-Pi-Maker is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by sergio-peschiera. Your AI guide for Molt Pi Maker. It has 1,095 GitHub stars.

Is Molt-Pi-Maker safe to use?⌄

Yes. Molt-Pi-Maker passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install Molt-Pi-Maker?⌄

Clone the repository with "git clone https://github.com/sergio-peschiera/Molt-Pi-Maker" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is Molt-Pi-Maker written in?⌄

Molt-Pi-Maker is primarily written in Shell. It is open-source under sergio-peschiera on GitHub, so you can review or fork the full source.

Are there alternatives to Molt-Pi-Maker?⌄

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh Molt-Pi-Maker against similar tools.

Molt-Pi-Maker

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